disagg_planner.yaml

# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0

apiVersion: nvidia.com/v1alpha1
kind: DynamoGraphDeployment
metadata:
  name: vllm-disagg-planner
spec:
  services:
    Frontend:
      dynamoNamespace: vllm-disagg-planner
      componentType: frontend
      replicas: 1
      extraPodSpec:
        mainContainer:
          image: nvcr.io/nvidia/ai-dynamo/vllm-runtime:my-tag
    Planner:
      dynamoNamespace: vllm-disagg-planner
      componentType: planner
      replicas: 1
      extraPodSpec:
        mainContainer:
          image: nvcr.io/nvidia/ai-dynamo/vllm-runtime:my-tag
          workingDir: /workspace/components/src/dynamo/planner
          command:
          - python3
          - -m
          - planner_sla
          args:
            - --environment=kubernetes
            - --backend=vllm
            - --adjustment-interval=60
            - --profile-results-dir=/workspace/profiling_results
          volumeMounts:
            - name: planner-profile-data
              mountPath: /workspace/profiling_results
              readOnly: true
        volumes:
          - name: planner-profile-data
            configMap:
              # Must be pre-created before deployment by the profiler
              # See docs/planner/sla_planner_quickstart.md for more details
              name: planner-profile-data
    VllmDecodeWorker:
      dynamoNamespace: vllm-disagg-planner
      envFromSecret: hf-token-secret
      componentType: worker
      subComponentType: decode
      replicas: 1
      resources:
        limits:
          gpu: "1"
      extraPodSpec:
        mainContainer:
          image: nvcr.io/nvidia/ai-dynamo/vllm-runtime:my-tag
          workingDir: /workspace/examples/backends/vllm
          command:
            - python3
          args:
            - -m
            - dynamo.vllm
            - --model
            - Qwen/Qwen3-0.6B
    VllmPrefillWorker:
      dynamoNamespace: vllm-disagg-planner
      envFromSecret: hf-token-secret
      componentType: worker
      subComponentType: prefill
      replicas: 1
      resources:
        limits:
          gpu: "1"
      extraPodSpec:
        mainContainer:
          image: nvcr.io/nvidia/ai-dynamo/vllm-runtime:my-tag
          workingDir: /workspace/examples/backends/vllm
          command:
            - python3
          args:
            - -m
            - dynamo.vllm
            - --model
            - Qwen/Qwen3-0.6B
            - --is-prefill-worker